JOURNAL ARTICLE

Tracking Possibly Unresolved Targets with PMHT

Abstract

In tracking scenarios with high target density, it is possible that two (or more) targets may be close enough to be unresolved by the sensor. In this case, the unresolved targets produce only a single measurement, and this may cause the tracking algorithm to incorrectly terminate track on one of the targets. This paper presents an extension of the probabilistic multi-hypothesis tracker (PMHT) to allow for the possibility of unresolved targets. The extended algorithm is compared with the standard PMHT, and with the joint probabilistic data association algorithm for unresolved measurements.

Keywords:
Probabilistic logic Tracking (education) Computer science Artificial intelligence Data association Extension (predicate logic) Radar tracker Joint (building) Computer vision Algorithm Engineering

Metrics

10
Cited By
0.39
FWCI (Field Weighted Citation Impact)
8
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability

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